Peter Wiesli

1.9k citations
61 papers · 1.4k · h-index 19

Impact in

  • Nephrology top 2%
    • Chronic Kidney Disease and Diabetes
    • Dialysis and Renal Disease Management
    • Parathyroid Disorders and Treatments
    • Pituitary Gland Disorders and Treatments
    • Growth Hormone and Insulin-like Growth Factors
    • Thyroid Disorders and Treatments

Papers in

    • Pituitary Gland Disorders and Treatments 9
    • Diabetes Management and Research 4
    • Diabetes Treatment and Management 4
    • Thyroid Disorders and Treatments 4
    • Growth Hormone and Insulin-like Growth Factors 4
    • Neuroendocrine Tumor Research Advances 9

Peter Wiesli

60 papers receiving 1.4k citations

Peers

Peter Wiesli
Comparison fields: 5 of 93
  • Nephrology 329
  • Endocrinology, Diabetes and Metabolism 414
  • Epidemiology 244
  • Neurology 87
  • Microbiology 35
Replace Peter Claes Eskildsen with:
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Citations per field
00.5×8.8×
Peter Claes Eskildsen · 1×
Citations per year

Countries citing papers authored by Peter Wiesli

Since Specialization
Citations

This map shows the geographic impact of Peter Wiesli's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peter Wiesli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Wiesli more than expected).

Fields of papers citing papers by Peter Wiesli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Wiesli. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peter Wiesli. The network helps show where Peter Wiesli may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter Wiesli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter Wiesli Line = papers co-authored together Peter Wiesli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003283
2 2003131
3 200773
4 201168
5 200468
6 200259
7 200558
8 200654
9 201250
10 200445
11 200736
12 201233
13 200129
14 200626
15 200623
16 200420
17 200418
18 200418
19 202318
20 201317

About Peter Wiesli

Peter Wiesli is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Molecular Biology, Surgery and Neurology, having authored 61 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (9 papers), Pituitary Gland Disorders and Treatments (9 papers), Diabetes Management and Research (4 papers), Diabetes Treatment and Management (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Thyroid Disorders and Treatments (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Neuroblastoma Research and Treatments (3 papers). The work is most often cited by research in Nephrology (329 citations), Endocrinology, Diabetes and Metabolism (414 citations), Epidemiology (244 citations), Neurology (87 citations) and Microbiology (35 citations). Peter Wiesli has collaborated with scholars based in Switzerland, Australia and United States. Frequent co-authors include Christoph Schmid, Michael Brändle, Beat Schwegler, Giatgen A. Spinas, Cornelia Zwimpfer, Jürgen Zapf, René L. Bernays, Thomas Pfammatter, Friedrich E. Maly and Kyrill Schwegler. Their work appears in journals such as Experimental and Clinical Endocrinology & Diabetes, Clinical Chemistry, Clinical Endocrinology, Swiss Medical Weekly and Clinica Chimica Acta.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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